2023

• Jiri Sima and Jérémie Cabessa. Energy Complexity of Fully-Connected Layers. In IWANN 2023: Proceedings of the International Work-Conference on Artificial Neural Networks (1), pp. 3-15, Springer, 2023.

• Umer Mushtaq and Jérémie Cabessa. Argument Mining with Modular BERT and Transfer Learning. In IJCNN 2023: Proceedings of the International Joint Conference on Artificial Neural Networks, pp. 1-8, IEEE, 2023.

2022

• Jérémie Cabessa Hugo Hernault, Yves Lamonato, Mathieu Rochat, Yariv Z. Levy. The EsnTorch Library: Efficient Implementation of Transformer-Based Echo State Networks. In ICONIP 2022: Proceedings of the International Conference on Neural Information Processing (VII), CCIS vol. 1794, pp. 235-246, Springer, 2022.

• Umer Mushtaq and Jérémie Cabessa Argument Classification with BERT Plus Contextual, Structural and Syntactic Features as Text. In ICONIP 2022: Proceedings of the International Conference on Neural Information Processing (IV), CCIS vol. 1791, pp. 622-633, Springer, 2022.

• Jérémie Cabessa. Turing Computation with Neural Networks Composed of Synfire Rings. In IJCNN 2022: Proceedings of the International Joint Conference on Artificial Neural Networks, pp. 1-8, IEEE, 2022.

2021

• Jérémie Cabessa Hugo Hernault, Heechang Kim, Yves Lamonato, Yariv Z. Levy. Efficient Text Classification with Echo State Networks. In IJCNN 2021: Proceedings of the International Joint Conference on Neural Networks, pp. 1-8, IEEE , 2021.

2019

• Jérémie Cabessa and Jiri Sima. Robust Optimal-Size Implementation of Finite State Automata with Synfire Ring-Based Neural Networks. In ICANN 2019: Proceedings of the 27th International Conference on Artificial Neural Networks, vol. 1, pp. 806-818, Springer , 2019.

• Jérémie Cabessa and Alessandro E.P. Villa. A Memory-Based STDP Rule for Stable Attractor Dynamics in Boolean Recurrent Neural Networks. In IJCNN 2019: Proceedings of the International Joint Conference on Artificial Neural Networks, pp. 1-8, IEEE , 2019.

2018

• Jérémie Cabessa and Alessandro E.P. Villa. An STDP Rule for the Improvement and Stabilization of the Attractor Dynamics of the Basal Ganglia-Thalamocortical Network. In ICANN 2018: Proceedings of the 26th International Conference on Artificial Neural Networks, vol. 3, pp. 693-702, Springer , 2018.

• Jérémie Cabessa and Aubin Tchaptchet. Automata Computation with Hodgkin-Huxley Based Neural Networks Composed of Synfire Rings. In IJCNN 2018: Proceedings of the 24rd International Joint Conference on Neural Networks , pp. 1-8, IEEE , 2018.

2017

• Jérémie Cabessa and Olivier Finkel. Expressive Power of Evolving Neural Networwks Working on Infinite Input Streams. In FCT 2017: Proceedings of the 21st International Symposium on Fundamentals of Computation Theory, pp. 150-163, Springer , 2017.

• Jérémie Cabessa and Alessandro E.P. Villa Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure. In ICANN 2017: Proceedings of the 26th International Conference on Artificial Neural Networks, vol. 1, pp. 334-342, Springer , 2017.

• Jérémie Cabessa and Paolo Masulli. Emulation of Finite State Automata with Networks of Synfire Rings. In IJCNN 2017: Proceedings of the 23rd International Joint Conference on Neural Networks, pp. 4641-4648, IEEE , 2017.

• Jérémie Cabessa, Ginette Horcholle-Bossavit and Brigitte Quenet. Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure. In ICANN 2017: Proceedings of the 26th International Conference on Artificial Neural Networks, vol. 1, pp. 245-253, Springer , 2017.

• Jérémie Cabessa and Alessandro E.P. Villa. Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks. In ICANN 2016: Proceedings of the 25th International Conference on Artificial Neural Networks, vol. 9886 of LNCS, pp. 115-122, Springer, 2016.

• Jérémie Cabessa and Alessandro E.P. Villa . Attractor-Based Complexity of a Boolean Model of the Basal Ganglia-Thalamocortical Netework. In IJCNN 2016: Proceedings of the 22nd International Joint Conference on Neural Networks, pp. 4664-4671, IEEE , 2016.

2015

• Jérémie Cabessa and Jacques Duparc. Expressive power of nondeterministic evolving recurrent neural networks in Terms of their Attractor Dynamics. In UCNC 2015: Proceedings of the 14st International Conference on Unconventional Computation and Natural Computation vol. 9592 of LNCS, pp. 144-156, Springer, 2015.

• Jérémie Cabessa and Alessandro E.P. Villa. Computational Capabilities of Recurrent Neural Networks Based on their Attractor Dynamics. In IJCNN 2015: Proceedings of the 21st International Joint Conference on Neural Networks, IEEE , 2015.

2014

• Jérémie Cabessa and Alessandro E.P. Villa. Interactive evolving recurrent neural networks are super-Turing universal. In ICANN 2014: Proceedings of the 24th International Conference on Artificial Neural Networks, vol. 8681 of LNCS, pp. 57-64, Springer, 2014.

• Jérémie Cabessa and Alessandro E.P. Villa. On interactively computable functions. In CiE 2014: 10th International Conference on Computability in Europe - Language, Life, Limits, accepted for presentation, 2014.

2013

• Jérémie Cabessa and Alessandro E.P. Villa. The super-Turing computational power of interactive evolving recurrent neural networks. In ICANN 2013: Proceedings of the 23th International Conference on Artificial Neural Networks, vol. 8131 of LNCS, pp. 58-65, Springer, 2013.

2012

• Jérémie Cabessa and Alessandro E.P. Villa. Recurrent neural networks: a natural model of computation beyond the Turing limits. In NCTA 2012: Proceedings of the 4th International Conference on Neural Computation, Theory and Applications, pp. 594-599, SciTePress, 2012.
  

• Jérémie Cabessa. Interactive evolving recurrent neural networks are super-Turing. In ICAART 2012: Proceedings of the 4th International Conference on Agents and Artificial Intelligence, vol. 1, pp. 328-333, SciTePress, 2012.

• Jérémie Cabessa, Yoshiyuki Asai, Javier Iglesias,  Pierre Dutoit, Alessandra Lintas and Alessandro E.P. Villa. Learning and memory phenomena in a complex sensory environment: a neuroheuristic approach. In NOLTA 2012: Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications, vol. 1, pp. 300-303, IEICE Proceedings series, 2012.

2011

• Christian W. Bach and Jérémie Cabessa. Agreeing to disagree with limit knowledge. In LORI 2011: Proceedings of the 3rd International Workshop on Logic, Rationality and Interaction, vol. 6953 of LNCS, pp. 51-60, Springer, 2011.

• Jérémie Cabessa and Hava Siegelmann. Evolving recurrent neural networks are super-Turing. In IJCNN 2011: Proceedings of the 21st International Joint Conference on Neural Networks, pp. 3200-3206, IEEE , 2011.

2010

• Jérémie Cabessa and Alessandro E.P. Villa. A hierarchical classification of first-order recurrent neural networks. In LATA 2010: Proceedings of the 4th International Conference on Language and Automata Theory and Applications, vol. 6031 of LNCS, pp. 142-153, Springer, 2010.

2009

• Jérémie Cabessa, Jacques Duparc, Alessandro Facchini, and Filip Murlak. The Wadge hierarchy of max-regular languages. In FSTTCS 2009: Proceedings of the 29th IARCS Conference on Foundations of Software Technology and Theoretical Computer Science, vol. 4 of LIPIcs, pp. 121-132, Schloss Dagstuhl , 2009.

• Christian W. Bach and Jérémie Cabessa. Limit knowledge of rationality. In TARK 2009: Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge, pp. 34-40, ACM, 2009.

2008

• Jérémie Cabessa and Jacques Duparc. The algebraic counterpart of the wagner hierarchy. In CiE 2008: Proceedings of the 4th conference on Computability in Europe, vol. 5028 of LNCS, pp. 100-109, Springer, 2008.

2007

• Jérémie Cabessa and Jacques Duparc. An infinite game over ω-semigroups. In FotFS V 2007: Proceedings of the 5th Conference on Foundations of the Formal Sciences V, vol. 11 of Studies in Logic, pp. 63-78, College Publications, 2007.